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mixtur: Modelling Continuous Report Visual Short-Term Memory Studies
A set of utility functions for analysing and modelling data from continuous report short-term memory experiments using either the 2-component mixture model of Zhang and Luck (2008) <doi:10.1038/nature06860> or the 3-component mixture model of Bays et al. (2009) <doi:10.1167/9.10.7>. Users are also able to simulate from these models.
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Package details |
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| Author | Jim Grange [aut, cre] (ORCID: <https://orcid.org/0000-0002-8352-8390>), Stuart B. Moore [aut] (ORCID: <https://orcid.org/0000-0002-0747-9304>), Ed D. J. Berry [ctb], Vencislav Popov [ctb] (ORCID: <https://orcid.org/0000-0002-8073-4199>) |
| Maintainer | Jim Grange <grange.jim@gmail.com> |
| License | GPL-3 |
| Version | 1.2.2 |
| URL | https://github.com/JimGrange/mixtur |
| Package repository | View on CRAN |
| Installation |
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